Goldman School of Public Policy - University of California, Berkeley

Natalie Ahn

Research Interests

  • Comparative Political Institutions
  • Political Economy
  • Natural Language Processing
  • Computational Social Science

Biography

I study comparative political institutions and government authority structures, using natural language processing and other computational methods. My dissertation investigates the expansion of executive authority in developing countries, to understand how leaders’ long-term incentives and pressures affect their decisions to seek and use power while in office. I'm using automated event extraction to identify institutional changes enacted in executive decrees and legislation, and analyzing the resulting event data using machine learning models for sequential prediction. Before entering the PhD program at UC Berkeley, I worked in journalism and foreign policy in Washington, DC and abroad.

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